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rohith siddi

@rohithsiddi

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Aspiring AI engineer with expertise in machine learning and NLP.

India

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What I'm looking for

I am looking for a role that fosters innovation and collaboration, where I can apply my AI skills to impactful projects and grow within a dynamic team.

I'm a Bachelor of Technology student specializing in Artificial Intelligence at Mahindra University, with a strong foundation in machine learning, deep learning, and natural language processing. My academic journey has been complemented by hands-on experience through internships and projects that have honed my technical skills and problem-solving abilities.

Currently, I am an AI Intern at Meeami Technologies, where I focus on optimizing transformer-based models for Hindi-English code-switching synthesis. My previous role as a Computer Vision Intern at Harvested Robotics allowed me to train and benchmark advanced models for weed detection, significantly improving detection accuracy and reducing inference latency. I am passionate about leveraging AI to solve real-world problems and continuously seek opportunities to expand my knowledge and expertise.

Experience

Work history, roles, and key accomplishments

Current

AI Intern

Current

Meeami Technologies

Researched and experimented with transformer, diffusion, and codec-based TTS models, analyzing research papers and customizing tokenizers and architectures to optimize performance for Hindi-English code-switching synthesis. Fine-tuned FastPitch and Grad-TTS models for 2000+ epochs with GAN-based vocoder integration, enhancing pronunciation and clarity; used TensorBoard to monitor loss curves and m

Transformers Diffusion Models Codec Based TTS FastPitch Grad TTS Tensorboard Tokenization Hindi English Code Switching

Computer Vision Intern

Harvested Robotics

Aug 2023 - Present (1 year 11 months)

Trained and benchmarked YOLOv8 and RCNN variants on a weed detection dataset, applying data augmentation and evaluation techniques to compare detection accuracy and speed across 500+ annotated images. Deployed YOLOv8 on NVIDIA Jetson using TensorRT with FP16 quantization, reducing inference latency by 40% and optimizing the model for real-time field applications. Evaluated models using mAP, infere

YOLOv8 NVIDIA Jetson TensorRT FP16 Quantization Maps Recall Hyperparameter Tuning

Education

Degrees, certifications, and relevant coursework

Mahindra University

Bachelor of Technology, Artificial Intelligence

Activities and societies: Relevant coursework: Machine Learning, Deep Learning, Data Science, Natural Language Processing (NLP), Computer Vision, Statistics

Pursued a Bachelor of Technology in Artificial Intelligence. Relevant coursework included Machine Learning, Deep Learning, Data Science, Natural Language Processing (NLP), Computer Vision, and Statistics.